4.5 Editorial Material

Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

Journal

KNEE SURGERY SPORTS TRAUMATOLOGY ARTHROSCOPY
Volume 30, Issue 2, Pages 361-364

Publisher

SPRINGER
DOI: 10.1007/s00167-021-06741-2

Keywords

Machine learning; Artificial intelligence; Orthopaedic surgery; Sports medicine

Ask authors/readers for more resources

The application of artificial intelligence and machine learning in orthopaedic surgery is increasing rapidly, but the statistical jargon and techniques associated with AI may be unfamiliar to many clinicians. In order to bridge this knowledge gap and make these novel techniques more accessible to orthopaedic surgeons, we introduce the concepts of AI and machine learning and provide examples of their impact on clinical practice and patient care.
The application of artificial intelligence (AI) and machine learning to the field of orthopaedic surgery is rapidly increasing. While this represents an important step in the advancement of our specialty, the concept of AI is rich with statistical jargon and techniques unfamiliar to many clinicians. This knowledge gap may limit the impact and potential of these novel techniques. We aim to narrow this gap in a way that is accessible for all orthopaedic surgeons. With this manuscript, we introduce the concept of AI and machine learning and give examples of how it can impact clinical practice and patient care.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available